Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jun 14;12(6):542.
doi: 10.3390/metabo12060542.

Research in the Field of Exercise and Metabolomics: A Bibliometric and Visual Analysis

Zhen Lv  1 , Zhi-Gang Gong  1 , Yong-Jiang Xu  2
Affiliations
Review

Research in the Field of Exercise and Metabolomics: A Bibliometric and Visual Analysis

Zhen Lv et al. Metabolites. .

Abstract

The aim of this article was to conduct a bibliometric analysis of global research trends in the field of exercise and metabolomics between 2005 and 2020. Systematic articles were obtained from the literature in the Web of Science core collection database from 2005 to 2020. The relationship between the number of publications, citations, countries, journals, authors, and the evolution of research hotspots was analyzed. A total of 807 studies were included in the analysis. From 2005 to 2020, the number of citations and the number of published articles showed an upward trend. Keyword co-occurrence indicates that research hotspots are focused on exercise, physical activity, metabolomics, obesity, insulin resistance, inflammation, and cardiovascular disease. Keyword clustering indicates that the research frontier is focused on the field of sports medicine, which includes molecular-level studies of exercise interventions in disease and studies of the physiological mechanisms by which exercise alters the body. Overall, this trinity of models, combining chronic disease with exercise interventions and molecular-level studies of metabolomics, has become the forefront of research in the field. This historical review of the field of exercise and metabolomics will further provide a useful basis for hot issues and future development trends.

Keywords: Web of Science; bibliometric analysis; exercise; metabolomics; research frontier.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Number of citations per year and number of papers published per day.
Figure 2
Figure 2
Visualization map of highly cited authors in the field of exercise and metabolomics (top 10 cited authors).
Figure 3
Figure 3
Color–time correspondence legend.
Figure 4
Figure 4
Time zone diagram of co-cited analysis of authors in the field of exercise and metabolomics (top 10 cited frequencies).
Figure 5
Figure 5
Visualization map of word-frequency distribution of keywords in the field of exercise and metabolomics (top 10 frequency).
Figure 6
Figure 6
Visualization map of highly burst terms in the filed of exercise and metabolomics (top 15 burst intensity). The blue line indicates the timeline, and the red segment on it indicates the duration of the burst.
Figure 7
Figure 7
Visualization map of keyword clustering in the field of exercise and metabolomics.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Nicholson J.K., Lindon J.C., Holmes E. ‘Metabonomics’: Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica. 1999;29:1181–1189. doi: 10.1080/004982599238047. - DOI - PubMed
    1. Tang H.-R., Wang Y.-L. Metabonomics: A Revolution in Progress5. Prog. Biochem. Biophys. 2006;33:401–417.
    1. Heaney L.M., Deighton K., Suzuki T. Non-targeted metabolomics in sport and exercise science. J. Sports Sci. 2019;37:959–967. doi: 10.1080/02640414.2017.1305122. - DOI - PubMed
    1. Nieman D.C., Shanely R.A., Luo B., Meaney M.P., Dew D.A., Pappan K.L. Metabolomics approach to assessing plasma 13-and 9-hydroxy-octadecadienoic acid and linoleic acid metabolite responses to 75-km cycling. Am. J. Physiol.-Regul. Integr. Comp. Physiol. 2014;307:R68–R74. doi: 10.1152/ajpregu.00092.2014. - DOI - PubMed
    1. Nieman D.C., Gillitt N.D., Henson D.A., Sha W., Shanely R.A., Knab A.M., Cialdella-Kam L., Jin F. Bananas as an energy source during exercise: A metabolomics approach. PLoS ONE. 2012;7:e37479. doi: 10.1371/journal.pone.0037479. - DOI - PMC - PubMed

LinkOut - more resources